InvokeAI/invokeai/app/api_app.py
Lincoln Stein bdc7b8b75a fix broken scripts
This PR fixes the following scripts:

1) Scripts that can be executed within the repo's scripts directory.
   Note that these are for development testing and are not intended
   to be exposed to the user.

   configure_invokeai.py - configuration
   dream.py              - the legacy CLI
   images2prompt.py      - legacy "dream prompt" retriever
   invoke-new.py         - new nodes-based CLI
   invoke.py             - the legacy CLI under another name
   make_models_markdown_table.py - a utility used during the release/doc process
   pypi_helper.py        - another utility used during the release process
   sd-metadata.py        - retrieve JSON-formatted metadata from a PNG file

2) Scripts that are installed by pip install. They get placed into the venv's
   PATH and are intended to be the official entry points:

   invokeai-node-cli      - new nodes-based CLI
   invokeai-node-web      - new nodes-based web server
   invokeai               - legacy CLI
   invokeai-configure     - install time configuration script
   invokeai-merge         - model merging script
   invokeai-ti            - textual inversion script
   invokeai-model-install - model installer
   invokeai-update        - update script
   invokeai-metadata"     - retrieve JSON-formatted metadata from PNG files
2023-03-03 20:19:37 -05:00

162 lines
4.7 KiB
Python

# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
import asyncio
from inspect import signature
import uvicorn
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.openapi.docs import get_redoc_html, get_swagger_ui_html
from fastapi.openapi.utils import get_openapi
from fastapi.staticfiles import StaticFiles
from fastapi_events.handlers.local import local_handler
from fastapi_events.middleware import EventHandlerASGIMiddleware
from pydantic.schema import schema
from ..backend import Args
from .api.dependencies import ApiDependencies
from .api.routers import images, sessions
from .api.sockets import SocketIO
from .invocations import *
from .invocations.baseinvocation import BaseInvocation
# Create the app
# TODO: create this all in a method so configuration/etc. can be passed in?
app = FastAPI(title="Invoke AI", docs_url=None, redoc_url=None)
# Add event handler
event_handler_id: int = id(app)
app.add_middleware(
EventHandlerASGIMiddleware,
handlers=[
local_handler
], # TODO: consider doing this in services to support different configurations
middleware_id=event_handler_id,
)
# Add CORS
# TODO: use configuration for this
origins = []
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
socket_io = SocketIO(app)
config = {}
# Add startup event to load dependencies
@app.on_event("startup")
async def startup_event():
args = Args()
config = args.parse_args()
ApiDependencies.initialize(
args=args, config=config, event_handler_id=event_handler_id
)
# Shut down threads
@app.on_event("shutdown")
async def shutdown_event():
ApiDependencies.shutdown()
# Include all routers
# TODO: REMOVE
# app.include_router(
# invocation.invocation_router,
# prefix = '/api')
app.include_router(sessions.session_router, prefix="/api")
app.include_router(images.images_router, prefix="/api")
# Build a custom OpenAPI to include all outputs
# TODO: can outputs be included on metadata of invocation schemas somehow?
def custom_openapi():
if app.openapi_schema:
return app.openapi_schema
openapi_schema = get_openapi(
title=app.title,
description="An API for invoking AI image operations",
version="1.0.0",
routes=app.routes,
)
# Add all outputs
all_invocations = BaseInvocation.get_invocations()
output_types = set()
output_type_titles = dict()
for invoker in all_invocations:
output_type = signature(invoker.invoke).return_annotation
output_types.add(output_type)
output_schemas = schema(output_types, ref_prefix="#/components/schemas/")
for schema_key, output_schema in output_schemas["definitions"].items():
openapi_schema["components"]["schemas"][schema_key] = output_schema
# TODO: note that we assume the schema_key here is the TYPE.__name__
# This could break in some cases, figure out a better way to do it
output_type_titles[schema_key] = output_schema["title"]
# Add a reference to the output type to additionalProperties of the invoker schema
for invoker in all_invocations:
invoker_name = invoker.__name__
output_type = signature(invoker.invoke).return_annotation
output_type_title = output_type_titles[output_type.__name__]
invoker_schema = openapi_schema["components"]["schemas"][invoker_name]
outputs_ref = {"$ref": f"#/components/schemas/{output_type_title}"}
if "additionalProperties" not in invoker_schema:
invoker_schema["additionalProperties"] = {}
invoker_schema["additionalProperties"]["outputs"] = outputs_ref
app.openapi_schema = openapi_schema
return app.openapi_schema
app.openapi = custom_openapi
# Override API doc favicons
app.mount("/static", StaticFiles(directory="static/dream_web"), name="static")
@app.get("/docs", include_in_schema=False)
def overridden_swagger():
return get_swagger_ui_html(
openapi_url=app.openapi_url,
title=app.title,
swagger_favicon_url="/static/favicon.ico",
)
@app.get("/redoc", include_in_schema=False)
def overridden_redoc():
return get_redoc_html(
openapi_url=app.openapi_url,
title=app.title,
redoc_favicon_url="/static/favicon.ico",
)
def invoke_api():
# Start our own event loop for eventing usage
# TODO: determine if there's a better way to do this
loop = asyncio.new_event_loop()
config = uvicorn.Config(app=app, host="0.0.0.0", port=9090, loop=loop)
# Use access_log to turn off logging
server = uvicorn.Server(config)
loop.run_until_complete(server.serve())
if __name__ == "__main__":
invoke_api()